Overspeed detection method and system of wind turbine generator safety chain system

Abstract

The invention discloses an overspeed detection method and system for a wind turbine generator safety chain system, and relates to the technical field of speed detection, and the method comprises the following steps: carrying out the synchronous sampling of an encoder and an output signal, calculating the integrated information after fusion, and carrying out the preprocessing of the integrated information; the average rotating speed is calculated by receiving the pulse signal output by the encoder; combining the average rotating speed with the rotating speed standard deviation to obtain a dynamic threshold value; and comparing the actual rotating speed with the dynamic threshold value, and obtaining the motion state information of the fan according to the comparison result. The device is based on the technical principle of an incremental photoelectric encoder and an inductance proximity switch, and the signal acquisition, data fusion and fault detection technologies are adopted; through the design of the multi-signal synchronous acquisition and data fusion module, the problem that the rotating speed signals of the low-speed end and the high-speed end of the fan are inconsistent is solved, and the signal processing precision and the anti-interference capability are improved.

Description

Technical Field

[0001] The invention relates to the technical field of speed detection, and in particular to an overspeed detection method and system for a wind turbine safety chain system. Background Art

[0002] Wind turbine speed failure is a major hidden danger in the operation of wind turbines. Independent speed measurement is required for the low-speed end (hub) and the high-speed end (generator). The speed of the low-speed end is collected by the slip ring encoder, and the speed of the high-speed end is detected by the generator encoder. The PLC or converter collects and compares these two signals in real time to ensure the synchronization and stability of the wind turbine speed. However, the existing detection methods lack accurate and reliable detection equipment for incremental and optical encoder signal monitoring, especially the optical encoder detection technology is relatively weak. When the encoder is abnormal or fails, traditional troubleshooting is inefficient due to the lack of professional detection instruments, resulting in inaccurate fault location. During the maintenance process, the encoder is often replaced for troubleshooting, which increases downtime and spare parts costs, and seriously affects the power generation efficiency of the wind turbine. At the same time, the encoder after repair lacks strict warehousing inspection, and its repair quality cannot be guaranteed, resulting in frequent replacement and repeated failure problems, which hinders the lean management of maintenance work. Summary of the invention

[0003] In view of the problems existing in the overspeed detection and system of the existing wind turbine safety chain system, the present invention is proposed.

[0004] Therefore, the problem to be solved by the present invention is.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides an overspeed detection method for a wind turbine safety chain system, which comprises the following steps:

[0007] Synchronously sampling the encoder and the output signal, calculating the integrated information after fusion, and preprocessing the integrated information;

[0008] By receiving the pulse signal output by the encoder, the average speed is calculated;

[0009] The average speed is combined with the speed standard deviation to obtain the dynamic threshold;

[0010] The actual rotation speed is compared with the dynamic threshold value, and the fan movement state information is obtained according to the comparison result.

[0011] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of synchronously sampling the encoder and the output signal includes:

[0012] Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s , then the encoder signal frequency f of the system in one sampling period p The calculation formula is:

[0013]

[0014] The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare on the same time basis.

[0015] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of calculating the comprehensive information includes:

[0016] Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion;

[0017] Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S f The calculation formula is:

[0018] S f =w p ·f p +w c ·f c ;

[0019] Where, the weight w of the encoder signal is p and the weight w of the proximity switch signal c The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source.

[0020] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of preprocessing the comprehensive information includes:

[0021] Combined with the Kalman filter algorithm, the fused signal is subjected to noise suppression and state estimation, including:

[0022] Set the integrated speed after filtering to ω f , the predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

[0023]

[0024] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of calculating the average speed includes:

[0025] First, calculate the instantaneous speed. The specific calculation formula is expressed as:

[0026]

[0027] Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in, M is the number of pulses / revolution of the encoder;

[0028] After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as:

[0029]

[0030] Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment.

[0031] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the method for obtaining the dynamic threshold value includes:

[0032] The average speed and standard deviation of the fan are combined to adjust the dynamic threshold. The specific calculation formula is expressed as:

[0033] Δn dyn =n avg +G×σ(n);

[0034] In the formula, G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Denoted as dynamic threshold.

[0035] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, after the dynamic threshold is obtained, the dynamic threshold is corrected, wherein the correction formula is expressed as:

[0036]

[0037] In the formula, α and β are correction coefficients, Δn′ dyn Represents the corrected dynamic threshold.

[0038] In a second aspect, an embodiment of the present invention provides an overspeed detection system for a wind turbine safety chain system, which includes a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0039] The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference;

[0040] The signal processing module is used to perform data fusion of the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information;

[0041] The calculation module is used to calculate the average speed and dynamic threshold of the fan to facilitate subsequent comparison;

[0042] The control execution module executes corresponding control commands according to the comparison result, and triggers an audible and visual alarm when overspeed is detected.

[0043] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned overspeed detection method of the wind turbine safety chain system is implemented.

[0044] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned overspeed detection method of the wind turbine safety chain system is implemented.

[0045] The beneficial effects of the present invention are as follows: based on the technical principles, signal acquisition, data fusion and fault detection technology of incremental photoelectric encoders and inductive proximity switches; through the design of multi-signal synchronous acquisition and data fusion modules, the problem of inconsistent speed signals between the low-speed end and the high-speed end of the fan is solved, and the accuracy and anti-interference ability of signal processing are improved; combined with real-time overspeed detection and dynamic threshold judgment methods, accurate monitoring and rapid response to the operating status of the fan are achieved, and the false alarm and missed alarm rates are effectively reduced; the design of fault alarm and remote feedback mechanism enhances the safety and reliability of the system and ensures the real-time transmission and processing of fault information. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0047] Figure 1 The figure is a flow chart of an overspeed detection method for a wind turbine safety chain system.

[0048] Figure 2This is the waveform diagram of the output signal of the incremental photoelectric encoder.

[0049] Figure 3 This is a schematic diagram of the first state of a display unit of an overspeed detection method for a wind turbine safety chain system.

[0050] Figure 4 This is a schematic diagram of the second state of the display unit of the overspeed detection method of the wind turbine safety chain system.

[0051] Figure 5 This is a schematic diagram of the third state of the display unit of the overspeed detection method of the wind turbine safety chain system. DETAILED DESCRIPTION

[0052] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0053] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0055] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0056] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0057] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] Example 1

[0059] The first thing you need to understand is: Figure 2 As shown in the figure, the incremental photoelectric encoder usually outputs three signals, namely A phase, B phase and Z phase signals. Among them, A phase and B phase are two orthogonal pulse signals with a phase difference of 90 degrees, which can provide high-resolution displacement information and determine the direction of rotation. The Z phase signal is a zero pulse, which is output once per revolution and is used for precise positioning and reset reference. The frequency of change of the number of pulses of phase A and phase B per unit time is proportional to the speed of the fan. The higher the frequency, the faster the speed. Combined with the Z phase signal, accurate measurement of speed and position can be achieved.

[0060] To ensure accurate acquisition and processing of the above signals, the signal acquisition system must have a high degree of synchronization and accuracy to avoid data deviations caused by timing errors.

[0061] Reference Figure 1 to Figure 5 , which is the first embodiment of the present invention, provides an overspeed detection method for a wind turbine safety chain system, comprising the following steps:

[0062] S1. Synchronously sample the encoder and output signals, calculate fused comprehensive information, and pre-process the comprehensive information.

[0063] The step of synchronously sampling the encoder and the output signal comprises:

[0064] Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s, then the encoder signal frequency f of the system in one sampling period p The calculation formula is:

[0065]

[0066] The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare under the same time base to ensure the timing consistency of multiple signals and the real-time nature of the data.

[0067] In order to further improve the accuracy of the data, multiple signals need to be fused. The fusion strategy uses an adaptive weighted algorithm to dynamically adjust the weights of different signal sources to ensure the stability and accuracy of signal fusion.

[0068] The step of calculating the comprehensive information includes:

[0069] Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion;

[0070] Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S f The calculation formula is:

[0071] S f =w p ·f p +w c ·f c ;

[0072] Where, the weight w of the encoder signal is p and the weight w of the proximity switch signal c The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source, and the feedback mechanism is used to optimize the fusion effect.

[0073] To ensure the real-time performance of data fusion, the Kalman filter algorithm is used to suppress noise and estimate the state of the fused signal, including:

[0074] Set the integrated speed after filtering to ω f , the predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

[0075]

[0076] This formula realizes the dynamic correction of fused data, reduces the influence of measurement noise on speed estimation, and ensures the accuracy and stability of data fusion. Through the above-mentioned multi-signal synchronous acquisition and data fusion method, the fan overspeed detection device can realize efficient monitoring of the fan operating status and provide a reliable data basis for subsequent overspeed judgment and fault alarm.

[0077] S2. Calculate and obtain the average rotation speed by receiving the pulse signal output by the encoder.

[0078] The step of calculating the average rotation speed comprises:

[0079] First, calculate the instantaneous speed. The specific calculation formula is expressed as:

[0080]

[0081] Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in, M is the number of pulses / revolution of the encoder. This formula is used to obtain the instantaneous speed of the fan in real time, reflecting the instantaneous state of the fan during operation;

[0082] After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as:

[0083]

[0084] Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment. This formula calculates the average of multiple instantaneous speeds to obtain the average fan speed n in the current time window. avg , to reflect the overall operating status of the fan.

[0085] S3. Combine the average speed with the speed standard deviation to obtain a dynamic threshold.

[0086] The method for obtaining the dynamic threshold comprises:

[0087] The average speed and standard deviation of the fan are combined to adjust the dynamic threshold. The specific calculation formula is expressed as:

[0088] Δn dyn =n avg +G×σ(n);

[0089] In the formula, G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Denoted as dynamic threshold.

[0090] After the dynamic threshold is obtained, the dynamic threshold is corrected, where the correction formula is expressed as:

[0091]

[0092] In the formula, α and β are correction coefficients, which take into account the deviation and fluctuation between the real-time speed and the set value to achieve more accurate overspeed judgment, Δn′ dyn It represents the corrected dynamic threshold value. The correction formula enhances the adaptability of the device to actual working conditions and effectively reduces the false alarm phenomenon.

[0093] S4. Compare the actual rotation speed with the dynamic threshold value, and obtain the fan movement state information according to the comparison result.

[0094] When the fan overspeed detection device detects that the speed exceeds the set threshold through the incremental photoelectric encoder and the inductive proximity switch, the high-speed signal processor will immediately trigger the alarm logic, and the connected display unit will update and display the overspeed fault information, current gear ratio, generator speed, impeller speed and other related fault information in real time. This information provides operators with intuitive equipment operation status, which helps to quickly identify and handle overspeed faults. When an overspeed fault is detected, the display unit immediately issues an on-site alarm with the help of the sound and light alarm module, and the screen will simultaneously display a highlighted prompt of the fault parameter, which can help operators quickly identify the fault type and specific location;

[0095] like Figures 3 to 5 As shown in the figure, the "Synchronize" and "Start" buttons on the interface can be used to adjust the operating status of the system, while the speed adjustment buttons ("+100", "+10", "-100", "-10") below allow the operator to finely control the fan speed and quickly adjust the fan to a safe state. At the same time, the communication indicator shows the normal state, ensuring that the fault alarm information can be smoothly transmitted to the remote monitoring system;

[0096] With the help of the LoRa communication module connected to the fan overspeed detection device, the detected overspeed fault information will be transmitted to the remote monitoring center or SCADA system in real time. The above functions ensure that the remote operator can obtain the fan fault data at the first time and quickly understand the fan operation status. After receiving the fault information, the industrial computer or SCADA system will conduct in-depth analysis and safe storage of the data, and generate detailed fault reports to provide accurate data support for operators and maintenance teams. The fan overspeed detection device realizes a complete closed-loop management from on-site fault detection, alarm display to remote feedback control through this remote feedback mechanism.

[0097] In summary, based on the technical principles, signal acquisition, data fusion and fault detection technology of incremental photoelectric encoders and inductive proximity switches; through the design of multi-signal synchronous acquisition and data fusion modules, the problem of inconsistent speed signals between the low-speed and high-speed ends of the fan is solved, and the accuracy and anti-interference ability of signal processing are improved; combined with real-time overspeed detection and dynamic threshold judgment methods, accurate monitoring and rapid response to the operating status of the fan are achieved, effectively reducing the false alarm and missed alarm rates; the design of fault alarm and remote feedback mechanism enhances the safety and reliability of the system, and ensures the real-time transmission and processing of fault information.

[0098] Example 2

[0099] On the basis of the first embodiment, this embodiment further provides an overspeed detection system of a wind turbine safety chain system, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0100] The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference;

[0101] The signal processing module is used to perform data fusion of the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information;

[0102] The calculation module is used to calculate the average speed and dynamic threshold of the fan to facilitate subsequent comparison;

[0103] The control execution module executes corresponding control commands according to the comparison result, and triggers an audible and visual alarm when overspeed is detected.

[0104] This embodiment also provides a computer device, which is suitable for the overspeed detection method of the wind turbine safety chain system, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the overspeed detection method of the wind turbine safety chain system proposed in the above embodiment.

[0105] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0106] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the overspeed detection method for the wind turbine safety chain system proposed in the above embodiment is implemented.

[0107] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0108] Example 3

[0109] On the basis of the previous two embodiments, this embodiment provides an overspeed detection method for a wind turbine safety chain system. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0110] The experimental device uses incremental photoelectric encoders and inductive proximity switches for multi-signal acquisition, and combines signal processing with overspeed detection algorithms to achieve high-precision detection. The experimental parameters are as follows:

[0111] Table 1: Experimental parameters

[0112]

[0113]

[0114] In order to fully verify the performance and adaptability of the wind turbine overspeed detection device, three typical working conditions, including high wind speed conditions, load mutation conditions and electromagnetic interference conditions, were selected for testing to evaluate the performance of the detection device under different conditions. The experimental steps are as follows:

[0115] First, prepare for the experiment to ensure that the operating conditions such as wind speed, temperature, and fan load are consistent, and calibrate all detection equipment to ensure the accuracy of the equipment's initial state and zero-point calibration to avoid experimental errors. Before the experiment, it is necessary to fully calibrate the zero point of the incremental photoelectric encoder and inductive proximity switch and other detection equipment to ensure the accuracy of the initial state and reduce measurement errors caused by equipment deviations.

[0116] The control group adopted the traditional detection method, using a mechanical tachometer and a magnetoelectric speed sensor to collect the speed signals of the fan hub and the generator respectively. After detection, these signals were transmitted to the conventional PLC system for processing, and the operating status of the fan was judged by a fixed overspeed threshold.

[0117] The experimental group adopted the detection device designed in this paper, and realized the synchronous signal acquisition of the low-speed and high-speed ends of the fan through the incremental photoelectric encoder and the inductive proximity switch. The collected multiple signals were analyzed in real time by the high-speed pulse processor, and the dynamic threshold algorithm was combined to accurately judge the fan speed to detect whether there is an overspeed state.

[0118] After the two groups of experiments were completed, the experimental data of the control group and the experimental group were compared, and the differences between the two groups in detection accuracy, response speed, false positive rate and anti-interference ability were analyzed in detail. The average detection performance of the two groups was statistically analyzed to verify the technical advantages of the experimental group in improving detection accuracy, response speed and anti-interference ability. The improvement effect and optimization potential of the experimental group were summarized to provide a basis for further optimization of the device.

[0119] Table 2: Experimental results

[0120]

[0121]

[0122] It can be seen from Table 2 that the overall performance of the experimental group is significantly better than that of the control group under the three working conditions of electromagnetic interference, load mutation and high wind speed.

[0123] The response speeds of the experimental group were 3.09s, 4.63s and 5.93s, respectively, which were much lower than those of the control group, indicating that the experimental group had a faster overspeed detection response. In terms of anti-interference ability, the experimental group reached 96.41%, 96.84% and 97.58% under various working conditions, respectively, which was significantly ahead of the control group, showing the ability of the experimental group to maintain high stability in complex environments. The detection accuracy of the experimental group was 97.31%, 96.35% and 97.23%, respectively, compared with 73.82%, 72.59% and 68.18% of the control group, which significantly improved the ability to accurately identify overspeed conditions. In terms of misjudgment rate, the experimental group was significantly lower, at 0.58%, 1.09% and 1.62%, respectively, while the control group was as high as 12.86%, 16.76% and 19.72%, indicating that the experimental group can effectively reduce misjudgments and ensure safe and reliable operation of the fan.

[0124] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for detecting overspeed of a wind turbine safety chain system, characterized in that: The following steps are included: Synchronously sampling the encoder and the output signal, calculating the integrated information after fusion, and preprocessing the integrated information; By receiving the pulse signal output by the encoder, the average speed is calculated; The average speed is combined with the speed standard deviation to obtain the dynamic threshold; The actual rotation speed is compared with the dynamic threshold value, and the fan movement state information is obtained according to the comparison result.

2. The overspeed detection method of the wind turbine safety chain system according to claim 1, characterized in that: The step of synchronously sampling the encoder and the output signal comprises: Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s , then the encoder signal frequency f of the system in one sampling period p The calculation formula is: The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare on the same time basis.

3. The overspeed detection method of the wind turbine safety chain system according to claim 2, characterized in that: The step of calculating the comprehensive information includes: Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion; Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S f The calculation formula is: S f =w p ·f p +w c ·f c ; Where, the weight w of the encoder signal is p and the weight w of the proximity switch signal c The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source.

4. The overspeed detection method of the wind turbine safety chain system according to claim 3, characterized in that: The step of preprocessing the comprehensive information includes: Combined with the Kalman filter algorithm, the fused signal is subjected to noise suppression and state estimation, including: Set the integrated speed after filtering to ω f The predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

5. The overspeed detection method of the wind turbine safety chain system according to claim 4, characterized in that: The step of calculating the average rotation speed comprises: First, calculate the instantaneous speed. The specific calculation formula is expressed as: Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in, M is the number of pulses / revolution of the encoder; After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as: Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment.

6. The overspeed detection method of the wind turbine safety chain system according to claim 5, characterized in that: The method for obtaining the dynamic threshold comprises: The average speed and standard deviation of the fan are combined to adjust the dynamic threshold. The specific calculation formula is expressed as: Δn dyn =n avg +G×σ(n); In the formula, G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Denoted as dynamic threshold.

7. The overspeed detection method of the wind turbine safety chain system according to claim 6, characterized in that: After the dynamic threshold is obtained, the dynamic threshold is corrected, where the correction formula is expressed as: In the formula, α and β are correction coefficients, Δn′ dyn Represents the corrected dynamic threshold.

8. An overspeed detection system for a wind turbine safety chain system, based on the overspeed detection method for a wind turbine safety chain system according to any one of claims 1 to 7, characterized in that: It includes a signal sampling module, a signal processing module, a calculation module, and a control execution module; The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference; The signal processing module is used to perform data fusion of the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information; The calculation module is used to calculate the average speed and dynamic threshold of the fan to facilitate subsequent comparison; The control execution module executes corresponding control commands according to the comparison result, and triggers an audible and visual alarm when overspeed is detected.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the overspeed detection method of the wind turbine safety chain system according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the overspeed detection method of the wind turbine safety chain system according to any one of claims 1 to 7 are implemented.

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